Here \(W^{in}\)  and \(W^{res}\)  are input and recurrent connection weight matrices that are randomly generated according to recipes given by [1]}; \(a\)  and \(b\)  are vectors called gain and bias that are set to 1 and 0 respectively in most applications.
